Mac mini (2024)
Geekbench AI Score
10010
Single Precision Score
11629
Half Precision Score
10840
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | May 18 2025 07:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4672
868.8 IPS |
|
|
Image Classification (HP)
|
100% |
4955
921.4 IPS |
|
|
Image Classification (Q)
|
96% |
4695
876.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7652
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8326
135.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8052
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29646
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31738
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31485
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4818
382.2 IPS |
|
|
Object Detection (HP)
|
100% |
5417
429.6 IPS |
|
|
Object Detection (Q)
|
92% |
4994
398.6 IPS |
|
|
Face Detection (SP)
|
100% |
13205
156.9 IPS |
|
|
Face Detection (HP)
|
100% |
17137
203.6 IPS |
|
|
Face Detection (Q)
|
100% |
13787
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21927
168.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23172
178.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
21446
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
61112
78.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71231
91.6 IPS |
|
|
Style Transfer (Q)
|
96% |
69240
89.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12357
456.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12306
454.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10837
400.2 IPS |
|
|
Text Classification (SP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3257
56.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3143
54.3 IPS |
